A Signal-To-Noise Ratio Analysis of an Autoradiographic Image Enhancement Process
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Rochester Institute of Technology RIT Scholar Works Theses 8-1-1984 A signal-to-noise ratio analysis of an autoradiographic image enhancement process Donald R. Williams Follow this and additional works at: https://scholarworks.rit.edu/theses Recommended Citation Williams, Donald R., "A signal-to-noise ratio analysis of an autoradiographic image enhancement process" (1984). Thesis. Rochester Institute of Technology. Accessed from This Thesis is brought to you for free and open access by RIT Scholar Works. It has been accepted for inclusion in Theses by an authorized administrator of RIT Scholar Works. For more information, please contact [email protected]. A SIGNAL-TO-NOISE RATIO ANALYSIS OF AN AUTORADIOGRAPHIC IMAGE ENHANCEMENT PROCESS by Donald R. Williams A.A .S. ROCHESTER INSTITUTE OF TECHNOLOGY (1978) A thesis submitted in partial fulfillment of the requirements for the degree of Master of SCfence in the School of Photographic Arts and Sciences in the College of Graphic Arts and Photography of the Rochester Institute of Technology August , 1984 Donald R. Williams Signature of the Author _ . Photographic Science and Instrumentation Division Ronald Francis Accepted by . Coordinator, M.S . Degree Program I College of Graphic Arts and Photography Rochester Institute of Technology Rochester, New York CERTIfICATE Of APPROVAL M.S. DEGREE THESIS The M.S. Degree Thesis of Donald R. Williams has been examined and approved by the thesis committee as satisfactory for the thesis requirement for the Master of Science degree Edward M. Grahger Dr . Edward M. Grahger. Thesis Advisor John Carson Mr. John Carson James Jakubowski Mr. James Jakubowski Date ;i A SIGNAL-TO-NOISE RATIO ANALYSIS OF AN AUTORADIOGRAPHIC IMAGE ENHANCEMENT PROCESS by Donald R. Williams Submitted to the Photographic Science and Instrumentation Division in partial fulfillment of the requirements for the Master of Science degree at the Rochester Institute of Technology ABSTRACT A signal-to-noise ratio(SNR) analysis of a S-35 thiourea autoradiographic image enhancement process incorporating subproportional bleaches is performed, with emphasis on diagnostic medical Imagery. Quantifying SNR through a spatial frequency definition of DQE and NEQ, these metrics were compared between donor and receiver-composite stages. While improvements in radiometric speed and gamma were noted in the receiver-composite, these gains were more thanXffset in a SNR sense by correspondingly lower MTF and higher Wiener spectrum values. As a result the donor's DQF^^ of .30 exceeded that of the receiver-composite's by 50%. DQEmavImCXA Similarly, exceeded that of the receiver composite's 350%. the donor's NEQ av by max . The donor's DQE and NEQ continued to exceed that of the receiver-composite even on an equi -exposure basis. TV ACKNOWLEDGEMENTS The author wishes to thank the following for both technical and facility support in the completion of this thesis: Dr. E.M. Granger, Mr. John Carson, 4 Mr. James Jakubowski for both technical support, and in their capacity as thesis committee members. Mr. Phillip Bundh and his colleagues at the Kodak Research Laboratories, Rochester,N.Y.. Xerox Corp., Webster, N.Y., for microdensitometer and computer facility access. Dr. Plewes and Dr- Owunwanne of Strong Memorial Hospital, University of Rochester, Rochester, N.Y. and Mr. Roland Porth for use of the MTF computer programs. TABLE OF CONTENTS Page INTRODUCTION 1 1 . 1 Autoradi ography 2 1.2 Signal Detection and Signal to Noise Ratio 4 1.3 Statement of the Problem 13 EXPERIMENTAL 16 2.1 Image System Definition 17 2 . 2 Samp! e Generati on 22 2.2.1 Donor and Receiver Photographic Materials 24 2.2.2 Donor Screen/Film Exposure and Sensitometry 24 2.2.3 Chemical Processing 25 2.2.4 Receiver Film Exposure 26 2.3 Data Capture and Processing 26 2.3.1 Densitometry- macro 4 micro 27 2.3.2 Characteristic Curve Data Acquisition 28 2.3.3 Characteristic Curve Data Processing 28 2.3.4 MTF Data Acquisition 29 2.3.5 MTF Data Processing 30 2.3.6 Wiener Spectra Data Acquisition 32 2.3.7 Wiener Spectra Data Processing 32 RESULTS 35 3 . 1 Characteristic Curves 36 3.2 Modulation Transfer Function 38 3.3 Wi ener Spectra 39 3.4 DQE and NEQ 41 3.5 DQE and NEQ Error Analysis 42 DISCUSSION 55 56 4 . 1 Characteristic Curves 4.2 Modulation Transfer Function 59 4.3 Wiener Spectra 61 4.4 DQE and NEQ 67 4.5 Applications of DQE and NEQ 72 CONCLUSIONS 77 vi 6. REFERENCES 87 7. APPENDICES 89 7.1 Appendix A - Equipment, Processing, 4 Measurement Parameters 90 7.2 Appendix B - Calculations 4 Curve Fits 96 7.3 Appendix C - Supplemental Graphs 106 7.4 Appendix D - Computer Programs 128 8. VITA 139 vn LIST OF FIGURES Figure # Page 1 X-Ray exposure scenario 18 2 Image chain block diagram 21 3 Experimental procedure block diagram 23 4 Characteristic curves for donor 4 receiver-comp 45 5 Gamma vs. log exposure curves 46 6 MTFs for donor and receiver-comp 47 7 Wiener spectra for donor 4 receiver-comp @ 0=1.0 48 8 Wiener spectrum for donor vs. log exp. 4 frequency 49 9 Wiener spectrum for rec.-comp. vs. log exp. 4 frequency 50 10 Equi -frequency Wiener spectrum values vs. log exposure 51 11 Equi -frequency Wiener spectra with characteristic curves 52 12 Donor DQE and NEQ vs. log exposure 53 13 Receiver-comp. DQE and NEQ vs. log exposure 54 14 Receiver-comp: donor gamma ratio vs. log exposure 58 15 MTF comparisons to reference 38 60 16 Rossman's Wiener spectrum model 62 2 17 MTF 4 Wiener spectra comparisons 64 18 Wiener spectra @ .4 vs. density 65 19 Receiver-comp. : donor DQE ratio vs. log exposure 69 20 Donor DQE and receiver-comp. NEQ comparison vs. log exp 74 21 Image chain block diagram 81 22 Characteristic curves for donor 4 receiver-comp 82 23 MTFs for donor and receiver-comp 83 24 MTF comparisons to reference 38 83 spectra with 25 Equi -frequency Wiener characteristic curves 84 26 Donor DQE and NEQ vs. log exposure 85 27 Receiver-comp. DQE and NEQ vs log exposure 86 vm 1. INTRODUCTION 1.1 Autoradiography As photography evolved from an art to a science, a natural consequence was the evaluation and extension of the photographic image as an information medium. This spawned a plethora of techniques to enhance the photographic image Information beyond what was considered to be normal. Even to this day new techniques continue to be proposed. However, only a handful of these methods survived the gauntlet of practicality and success. One of these processes which, at first, did not appear especially appealing from an image enhancement perspective was a 1 * 2 radiation emission method . Over the years this method has come to be known as autoradiography. Basically, the procedure involves toning the original silver 1mage(the donor) with a radioactive material. When the toned image was placed 1n contact with another unexposed silver halide material (the receiver), the decay properties of the radioactive material led to a subsequent latent image in the receiver. Since the amount of toner and with it radiation emissiond.e., exposure) is proportional to the amount of silver at a given location, wherever there was a high density in the donor there was a proportional amount of latent image or, after development, density. Likewise, low donor densities led to low receiver densities. Therefore, upon development, the receiver was a duplicate positive Image of the donor. While this method was originally intended as a duplication scheme, It eventually found a use as an image 3 enhancement method . The Idea behind the enhancement 1s to radioactively tag the donor's image silver that does not contribute significantly to the optical density yet does contain image information. Most of this information 1s In the toe region of the characteristic curve and is associated with individual Image grains rather than a large number of grains. By radioactively tagging this silver one hopes that the information in this region will manifest itself 1n the receiver, and in turn increase the photographic speed. The feasability of recent efforts using this scheme has suffered however due to inherent radiation hazards, equipment considerations and unacceptable image quality.4. Be that as it may, one process that has shown considerable promise and seems to circumvent some of the above mentioned problems is an autoradiographic image Intensification method developed by Askins . Similar to the radiation emission method, the original silver image of the donor 1s reacted with Askins' radioactive nuclides. For s process these are beta-particle emitting nuclides and because of their low energy tend to optimize the enhanced image's resolution. These nuclides take the form of thiourea S-35 in an activating or toner bath. Once the donor has been bathed in this activating bath It 1s dried, and one then has a radioactive Image whose radioactive flux at any location is proportional to the amount of silver at that point. This radiotoned film is then placed 1n contact for a given duration of time with another silver halide emulsion, the receiver, and subsequently developed as one would a normal Image from silver halide materials. The chemical mechanism behind the procedure can best be o described through work done by James and Vanselow . It is believed that the silver ion reacts with the thiourea through the thione OH" RCNH2=S presence of ion the yielding Ag+. In the , following reaction occurs: ^C=S*-Ag+ + OH"-*- HN = C-S-Ag + HgO (1). H2N However, at higher pH the silver thiourea compound reacts via the equation: f ? Ag+? OH" = + = HN C-S-Ag + -#- Ag,S + RC N + H,0 (2), With respect to Askin's process, any silver existing in the donor material 1s aerially oxidized to Ag+.